Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

This review introduces several areas of importance in acoustic emission (AE) technology,
starting from signal attenuation. Signal loss is a critical issue in any large-scale AE …

This paper introduces two deep learning approaches to localize acoustic emissions (AE)
sources within metallic plates with geometric features, such as rivet-connected stiffeners. In …

Accuracy metrics have been widely used for the evaluation of predictions in machine
learning. However, the selection of an appropriate accuracy metric for the evaluation of a …

This paper introduces a deep learning-based framework to localize and characterize
acoustic emission (AE) sources in plate-like structures that have complex geometric …

Acoustic emission (AE) localization plays an important role in the prediction and control of
potential hazardous sources in complex structures. However, existing location methods …

Acoustic emission (AE) is often used for structural health monitoring (SHM) in the wide field
of engineering structures and one of its most beneficial attributes is the ability to localize the …

Interest in damage mode classification of composite structures by Acoustic Emission (AE)
inspection technique and clustering analysis by machine learning has been increasingly …

As the fatigue problem of orthotropic steel plates becomes increasingly severe in medium-
and long-span bridges, structural health monitoring of the plates that could identify cracks …

Fretting fatigue can significantly reduce the life of components, leading to unexpected in-
service failures. This phenomenon has been studied for over a century, with significant …